Title page for etd-0905116-144129

下載電子全文宣告

This thesis is authorized to indicate in-campus access immediately and off-campus access at 3 years
You can not download at the moment.
Your IP address is 54.196.208.187
The defense date of the thesis is 2016-09-05
The current date is 2019-03-22
This thesis will be accessible at 2019-09-05

With the ever-increasing popularity of user generated content, travelers can sharetheir personal experiences and opinions on the blog and provide important information to potential travelers. Travel blogs have become a new platform for tourists to acquire travel-related information online before they start the journey and support their travel decisions. But only when the information obtained from travel blogs are perceived credible and trustworthy can influence potential travelers' behavioral intentions. However, how the information quality obtained from travel blogs influence travelers’ intentions have received relatively little attention. The elaboration likelihood model (ELM), proposed by Petty, Cacioppo, andSchumann (1983) provide a theoretical framework for understanding how people process messages and the route of persuasions. Based on the ELM model, this study aims to investigate how the characteristics of information obtained from travel blogs which are associated with central route (i.e., information relevance, understandability, timeliness, accuracy, completeness and persuasiveness) and the peripheral route (i.e., source credibility and sidedness) influence travelers’ perceived information credibility and the degree of trust, which lead to induce recipients’ travel intentions.A total of 388 valid questionnaire data were collected on travel related Internet Websites. Structural model analysis (SEM) was conducted to examine the proposed hypotheses. The results revealed that information accuracy, completeness, and persuasiveness are predictors of travelers’ perceived information credibility in the central route. As for the peripheral route, source credibility and sidedness are predictors of travelers’ perceived information credibility. Travelers’ perceived information credibility influence the degree of trust, which further influence their travel intentions.